Evidence map›Paper›PMID 36971194›Full record

ArticleCNS neuroscience & therapeutics2023

Metabolic phenotyping of pilomotor seizures in autoimmune encephalitis.

Yueqian Sun, Xiaobin Zhao, Lin Ai, Qun Wang

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Yueqian SunDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-8607-6441
Xiaobin ZhaoDepartment of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Lin AiDepartment of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-5946-2918
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIctal piloerection (IP) is an uncommon symptom in focal epilepsy and is associated with autoimmune encephalitis (AE). However, the networks involved in AE-associated IP are still unclear. To have a better understanding of IP underlying mechanisms, the current study investigated whole-brain metabolic networks for the analysis of AE-associated IP.

methodsPatients with AE and IP diagnosed at our Institute between 2018 and 2022 were selected. We then investigated the brain regions associated with AE-associated IP using positron emission tomography (PET). Anatomometabolic changes (interictal

resultsSixteen patients showed significant IP. The overall IP prevalence was 4.09% of patients with AE and 12.9% of patients with limbic encephalitis. The most common autoantibodies were against LGI1 (68.8%) followed by GAD65 (6.3%), NMDA (6.3%), GABAb (6.3%), CASPR2 (6.3%), and antibodies recognizing both GAD65 and mGLUR5 (6.3%). Most patients responded well to immunotherapy. Analysis of the imaging results at the voxel level showed that patients with IP had hypermetabolic changes in the right inferior temporal gyrus, suggesting involvement of this brain region in IP.

conclusionsOur findings indicate that IP as an uncommon AE-associated manifestations should be recognized. We observed that the metabolic pattern of IP was conspicuous in the right inferior temporal gyrus.

Indexed as

Autoimmune Diseases of the Nervous SystemEncephalitisAutoantibodiesHashimoto DiseaseHumansSeizuresAutoantibodiesautoimmune encephalitisFDG-PETpathological mechanismpilomotor seizures

Identifiers

PMID36971194
PMCPMC10401145
OpenAlexW4361006205

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.